Plotly

Dataset

Make a Plot

data("instacart")
instacart = 
  instacart %>% 
  slice(1:100) # select only 100 rows

instacart %>%
  count(aisle, name = "n_obs") %>% 
  ggplot(aes(x = aisle, y = n_obs))+
  geom_point() +
  coord_flip() +
  ggtitle("") +
  xlab("aisle name") + ylab("number of items")

instacart %>% 
  count(department) %>% 
  mutate(department = fct_reorder(department, n)) %>% 
  plot_ly(x = ~department, y = ~n, color = ~department, type = "bar", colors = "viridis")

instacart %>% 
  mutate(department = fct_reorder(department, order_hour_of_day)) %>% 
  plot_ly(y = ~order_hour_of_day, color = ~department, type = "box", colors = "viridis")